干旱区生态环境知识资源中心(Arid): Using remote sensing products to predict recovery of vegetation across space and time following energy development

Arid

DOI	10.1016/j.ecolind.2019.105872
	Using remote sensing products to predict recovery of vegetation across space and time following energy development
	Monroe, Adrian P.1,2; Aldridge, Cameron L.2,3,4; O'; Donnell, Michael S.1,2; Manier, Daniel J.2; Homer, Collin G.5; Anderson, Patrick J.2
通讯作者	Monroe, Adrian P.
来源期刊	ECOLOGICAL INDICATORS
ISSN	1470-160X
EISSN	1872-7034
出版年	2020
卷号	110
英文摘要	Using localized studies to understand how ecosystems recover can create uncertainty in recovery predictions across landscapes. Large archives of remote sensing data offer opportunities for quantifying the spatial and temporal factors influencing recovery at broad scales and predicting recovery. For example, energy production is a widespread and expanding land use among many semi-arid ecosystems of the Western United States dominated by sagebrush (Artemisia spp.), a keystone species providing a variety of ecological services. With remotely-sensed (Landsat) estimates of vegetation cover collected every 2-5 years from southwestern Wyoming, USA, over nearly three decades (1985-2015), we modeled changes in sagebrush cover on 375 former oil and gas well pads in response to weather and site-level conditions. We then used modeled relationships to predict recovery time across the landscape as an indicator of resilience for vegetation after well pad disturbances, where faster recovery indicates a greater capacity to recover when similarly disturbed. We found the rate of change in sagebrush cover generally increased with moisture and temperature, particularly at higher elevations. Rate of change in sagebrush cover also increased and decreased with greater percent sand and larger well pads, respectively. We predicted 21% of the landscape would recover to pre-disturbance conditions within 60 years, whereas other areas may require > 100 years for recovery. These predictions and maps could inform future restoration efforts as they reflect resilience. This approach also is applicable to other disturbance types (e.g., fires and vegetation removal treatments) across landscapes, which can further improve conservation efforts by characterizing past conditions and monitoring trends in subsequent years.
英文关键词	Artemisia Monitoring Resilience Sagebrush Soil properties Weather
类型	Article
语种	英语
国家	USA
开放获取类型	Bronze
收录类别	SCI-E
WOS记录号	WOS:000507381800035
WOS关键词	SAGEBRUSH ARTEMISIA-TRIDENTATA ; GREAT-BASIN ; POSTFIRE RECOVERY ; ECOSYSTEM COMPONENTS ; INTERMOUNTAIN WEST ; DESERT SHRUBLANDS ; GAS DEVELOPMENT ; WATER-BALANCE ; LAND-USE ; CLIMATE
WOS类目	Biodiversity Conservation ; Environmental Sciences
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
来源机构	United States Geological Survey ; Colorado State University
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/314342
作者单位	1.Nat Resource Ecol Lab, Ft Collins, CO 80523 USA; 2.US Geol Survey, Ft Collins Sci Ctr, Ft Collins, CO 80526 USA; 3.Colorado State Univ, Nat Resource Ecol Lab, Ft Collins, CO 80523 USA; 4.Colorado State Univ, Dept Ecosyst Sci & Sustainabil, Ft Collins, CO 80523 USA; 5.US Geol Survey, Earth Resources Observat & Sci Ctr, Sioux Falls, SD 57198 USA
推荐引用方式 GB/T 7714	Monroe, Adrian P.,Aldridge, Cameron L.,O',et al. Using remote sensing products to predict recovery of vegetation across space and time following energy development[J]. United States Geological Survey, Colorado State University,2020,110.
APA	Monroe, Adrian P..,Aldridge, Cameron L..,O'.,Donnell, Michael S..,Manier, Daniel J..,...&Anderson, Patrick J..(2020).Using remote sensing products to predict recovery of vegetation across space and time following energy development.ECOLOGICAL INDICATORS,110.
MLA	Monroe, Adrian P.,et al."Using remote sensing products to predict recovery of vegetation across space and time following energy development".ECOLOGICAL INDICATORS 110(2020).